Harnessing the energy of the future, we present a series of LoRAs dedicated to the world of electric cars, EV charging concepts, and more.
Experiment Setup:
Hardware: 6x A6000 GPUs
Special Mention: Lora 5 was trained using the CivitAI trainer.
Lora FA
Module: networks.lora_fa
Dim: 64
Alpha: 64.0
Lycoris - preset FULL
Module: lycoris.kohya
Resolution: 1024x1024
Preset: full
Algo: lora
Dropout: 0.0
Lycroris LoKR preset FULL with SDXL v-prediction
Preset: full
Algo: lokr
Factor: 8
Dim: 100,000,000
Alpha: 0.69
LoRA - High Alpha Experiment (1.7GB oversized lora)
Module: networks.lora
Dim: 256
Alpha: 512.0
CivitAI Lora
Resolution: 1024x1024
Architecture: stable-diffusion-xl-v1-base/lora
Learning Rate: 0.0005
UNet LR: 0.0005
TE LR: 5e-05
Network Dim/Rank: 32.0 Alpha: 1.0
Optimizer: bitsandbytes.optim.adamw.AdamW8bit(weight_decay=0.1)
Epoch: 15
Batches per epoch: 455
Gradient accumulation steps: 1
Train images: 1820
Regularization images: 0
Multires noise iterations: 6.0
Multires noise discount: 0.3
Min SNR gamma: 5.0
UNet weight average magnitude: 4.496516309802129
UNet weight average strength: 0.016011949140159916
Text Encoder (1) weight average magnitude: 1.8189308640704058
Text Encoder (1) weight average strength: 0.009030077111409775
Text Encoder (2) weight average magnitude: 1.835224805119421
Text Encoder (2) weight average strength: 0.007039581994775502
FFusion LoRA:
Description: Merged and scaled using dynamic weights from LoRAS 1-5.
Tags:
futuristic product car shot, charging through city, futuristic car concept, futuristic cars, hydrogen fuel cell vehicle, render of futuristic supercar, by thomas hรคfner, tesla car, automotive, trending on vehicle design ... and 1988 more!
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